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Future approaches to facilitate large-scale adoption of thermal based images as key input in the production of dynamic irrigation management zones

Published online by Cambridge University Press:  01 June 2017

Y. Cohen ,
N. Agam ,
I. Klapp ,
A. Karnieli ,
O. Beeri ,
V. Alchanatis  and
N. Sochen
Y. Cohen*
Affiliation:
Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Rishon-Le’Zion, Israel
N. Agam
Affiliation:
Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede-Boqer campus, Israel
I. Klapp
Affiliation:
Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Rishon-Le’Zion, Israel
A. Karnieli
Affiliation:
Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede-Boqer campus, Israel
O. Beeri
Affiliation:
Manna irrigation, Gvat, Israel
V. Alchanatis
Affiliation:
Institute of Agricultural Engineering, Agricultural Research Organization (ARO), Volcani Center, Rishon-Le’Zion, Israel
N. Sochen
Affiliation:
Department of Mathematics, Tel Aviv University, Tel Aviv, Israel
*
†E-mail: yafitush@volcani.agri.gov.il
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Abstract

To use VRI systems, a field is divided into irrigation management zones (IMZs). While IMZs are dynamic in nature, most of IMZs prescription maps are static. High-resolution thermal images (TI) coupled with measured atmospheric conditions have been utilized to map the within-field water status variability and to delineate in-season IMZs. Unfortunately, spaceborne TIs have coarse spatial resolution and aerial platforms require substantial financial investments, which may inhibit their large-scale adoption. Three approaches are proposed to facilitate large-scale adoption of TI-based IMZs: 1) increase of the capacity of aerial TI by enhancing their spatial resolution; 2) sharpening the spatial resolution of satellite TI by fusing satellite multi-spectral images in the visible-near-infrared (VIS-NIR) range; 3) increase the capacity of aerial TI by fusing satellite multi-spectral images in the VIS-NIR range. The scientific and engineering basis of each of the approaches is described together with initial results.

Keywords

thermal imagingfusion of VIS-NIR and thermal imagingsuper-resolutionsharpening
Type
Precision Irrigation
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 546 - 550
Copyright
© The Animal Consortium 2017 

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